6127 Open source projects that are alternatives of or similar to Storytelling With Data

Modular multitask reinforcement learning with policy sketches

An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines

[repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence

GCP Essentials for Bioinformatics Researchers

Implementation of the paper "Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching"

Machine Learning Sound Classifier

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Basics of programming: algorithms, data structures, object oriented programming

R kernel for Jupyter

A non-sampling profiler purpose built to measure and optimize performance of ultra low latency/real time systems

This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

Breze with all the stuff.

Natural Language Processing

All codes from the DataWhatNow blog.

Rhythm Pattern music feature extractor by IFS @ TU-Vienna

Python for Finance (O'Reilly)

Code for paper in CVPR2019, 'Attentive Feedback Network for Boundary-aware Salient Object Detection'

This repository contains IPython notebooks that I have written.

This is a repository for submitted contents of Qiita.

AIND Term 2 -- VUI Capstone Project

A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"

Exploring applications of deep learning to the world of wine

Reconstruction of three-dimensional porous media using generative adversarial neural networks

机器学习与深度学习算法示例

Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)

Machine learning to classify Malicious (Spam)/Benign URL's

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

公众号“无痛入门音乐科技”开源代码

Applying transfer learning to a custom dataset by retraining Inception's final layer

Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Models that explain the returns of individual stocks generally use company and stock characteristics, e.g., the market prices of financial instruments and companies’ accounting data. These characteristics can also be used to predict expected stock returns out-of-sample. Most studies use simple linear models to form these predictions [1] or [2]. An increasing body of academic literature documents that more sophisticated tools from the Machine Learning (ML) and Deep Learning (DL) repertoire, which allow for nonlinear predictor interactions, can improve the stock return forecasts [3], [4] or [5]. The main goal of this project is to investigate whether modern DL techniques can be utilized to more efficiently predict the movements of the stock market. Specifically, we train a LSTM neural network with time series price-volume data and compare its out-of-sample return predictability with the performance of a simple logistic regression (our baseline model).

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

Models and Pipelines for the Spark NLP library

Jupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.

GitHub Action for repo2docker

[ACL 2020] PyTorch code for MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

Faster-RCNN based on Densecap(deprecated)

Python/Jupyter notebooks for Volume 2 of "Deep Learning - From Basics to Practice" by Andrew Glassner

Game Theory and Python, a workshop investigating repeated games using the prisoner's dilemma

Code for my EMNLP 2018 paper "SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach"

detect curved lane lines using HSV filtering and sliding window search.

An extension for IPython/Jupyter that helps to use Fortran in your interactive session.

Implementation of different machine learning techniques

Code for Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification paper

A Handful of D(u)S(t)

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

Privacy-preserving generative deep neural networks support clinical data sharing

Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.